Application of laccase and hydrolases for trace organic contaminants removal from contaminated water
Bibliographic record
Abstract
The potential of a laccase from Trametes hirsuta , a hydrolase mixture of amylase, lipase cellulase and protease, was studied for the removal of a set of trace organic contaminants (TrOCs) at 10 µg/L each in a contaminated water. An attempt was also made to develop a combination of cross-linked enzyme aggregates (combi-CLEA) from the two groups of enzymes. After a 24-hour in batch treatments at 22°C and pH 7, compounds such as acetaminophen and levothyroxine showed a decrease in concentration of 97% and 99% respectively, in presence of laccase, while amlodipine, levothyroxine, and trimethoprim were removed at 98%, 99% and 99% respectively, when the contaminated water was treated with the hydrolase mixture. The study of the impact of pH, temperature and contact time revealed that the most favorable temperatures were 22°C and 30°C, but no clear correlation was found between pH and removal in the pH range of 6-8, although high removals were achieved at these pHs. Finally, except few compounds such as acetaminophen, the TrOC removal after 24 h was higher than that obtained in 4 h.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".